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Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale
Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf sc...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Singapore
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245396/ https://www.ncbi.nlm.nih.gov/pubmed/34019204 http://dx.doi.org/10.1007/s10265-021-01313-4 |
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author | Hikosaka, Kouki Tsujimoto, Katsuto |
author_facet | Hikosaka, Kouki Tsujimoto, Katsuto |
author_sort | Hikosaka, Kouki |
collection | PubMed |
description | Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf scale. Light energy absorbed by photosystem II chlorophylls is allocated to photochemistry, fluorescence, and heat dissipation evaluated as non-photochemical quenching (NPQ). PRI is correlated with NPQ because it reflects the composition of xanthophylls, which are involved in heat dissipation. Assuming that NPQ is uniquely related to the photochemical efficiency (quantum yield of photochemistry), photochemical efficiencies can be assessed from either chlorophyll fluorescence or PRI. However, this assumption may not be held under some conditions such as low temperatures and photoinhibitory environments. Even in such cases, photosynthesis may be estimated more accurately if both chlorophyll fluorescence and PRI are determined simultaneously. To convert from photochemical efficiency to CO(2) assimilation, environmental responses in stomatal conductance also need to be considered. Models linking chlorophyll fluorescence and PRI with CO(2) assimilation rates will contribute to understanding and future prediction of the global carbon cycle. |
format | Online Article Text |
id | pubmed-8245396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-82453962021-07-14 Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale Hikosaka, Kouki Tsujimoto, Katsuto J Plant Res JPR Symposium Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are expected to be useful for remote sensing of photosynthetic activity at various spatial scales. This review discusses how chlorophyll fluorescence and PRI are related to the CO(2) assimilation rate at a leaf scale. Light energy absorbed by photosystem II chlorophylls is allocated to photochemistry, fluorescence, and heat dissipation evaluated as non-photochemical quenching (NPQ). PRI is correlated with NPQ because it reflects the composition of xanthophylls, which are involved in heat dissipation. Assuming that NPQ is uniquely related to the photochemical efficiency (quantum yield of photochemistry), photochemical efficiencies can be assessed from either chlorophyll fluorescence or PRI. However, this assumption may not be held under some conditions such as low temperatures and photoinhibitory environments. Even in such cases, photosynthesis may be estimated more accurately if both chlorophyll fluorescence and PRI are determined simultaneously. To convert from photochemical efficiency to CO(2) assimilation, environmental responses in stomatal conductance also need to be considered. Models linking chlorophyll fluorescence and PRI with CO(2) assimilation rates will contribute to understanding and future prediction of the global carbon cycle. Springer Singapore 2021-05-21 2021 /pmc/articles/PMC8245396/ /pubmed/34019204 http://dx.doi.org/10.1007/s10265-021-01313-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | JPR Symposium Hikosaka, Kouki Tsujimoto, Katsuto Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title | Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title_full | Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title_fullStr | Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title_full_unstemmed | Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title_short | Linking remote sensing parameters to CO(2) assimilation rates at a leaf scale |
title_sort | linking remote sensing parameters to co(2) assimilation rates at a leaf scale |
topic | JPR Symposium |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8245396/ https://www.ncbi.nlm.nih.gov/pubmed/34019204 http://dx.doi.org/10.1007/s10265-021-01313-4 |
work_keys_str_mv | AT hikosakakouki linkingremotesensingparameterstoco2assimilationratesataleafscale AT tsujimotokatsuto linkingremotesensingparameterstoco2assimilationratesataleafscale |